Ziyang Jiang

According to our database, Ziyang Jiang authored at least 22 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Sparse Forcing: Native Trainable Sparse Attention for Real-time Autoregressive Diffusion Video Generation.

Boxun Xu, Yuming Du, Zichang Liu, Siyu Yang, Ziyang Jiang, Siqi Yan, Rajasi Saha, Albert Pumarola, Wenchen Wang, Peng Li

CoRR, April, 2026

Synergizing Deconfounding and Temporal Generalization For Time-series Counterfactual Outcome Estimation.

Yiling Liu, Juncheng Dong, Chen Fu, Wei Shi, Ziyang Jiang, Qi Xu, Zhigang Hua, David E. Carlson

Trans. Mach. Learn. Res., 2026

TPEech: Target Speaker Extraction and Noise Suppression With Historical Dialogue Text Cues.

Ziyang Jiang, Xueyan Chen, Shuai Wang, Xinyuan Qian, Haizhou Li

IEEE Signal Process. Lett., 2026

2025

Synergizing Deconfounding and Temporal Generalization For Time-series Counterfactual Outcome Estimation.

Yiling Liu, Juncheng Dong, Chen Fu, Wei Shi, Ziyang Jiang, Zhigang Hua, David E. Carlson

CoRR, November, 2025

Muyan-TTS: A Trainable Text-to-Speech Model Optimized for Podcast Scenarios with a $50K Budget.

Xin Li, Kaikai Jia, Hao Sun, Jun Dai, Ziyang Jiang

CoRR, April, 2025

Understanding and Robustifying Sub-domain Alignment for Domain Adaptation.

Yiling Liu, Juncheng Dong, Ziyang Jiang, Ahmed Aloui, Keyu Li, Michael Hunter Klein, Vahid Tarokh, David E. Carlson

Trans. Mach. Learn. Res., 2025

Scale-free and unbiased transformer with tokenization for cell type annotation from single-cell RNA-seq data.

Hongwei Zhang, Ziyang Jiang, Song Zhang, Liyun Tu, David E. Carlson

Pattern Recognit., 2025

Fractional-order PID-based search algorithms: A math-inspired meta-heuristic technique with historical information consideration.

Guangyao Chen, Yangze Liang, Ziyang Jiang, Sihao Li, Heng Li, Zhao Xu

Adv. Eng. Informatics, 2025

Intelligent integrity detection and damage localization of pile from low-strain test using deep learning with accelerated training via variable-order gradient descent.

Guangyao Chen, Chan Ghee Koh, Sihao Li, Ziyang Jiang, Yangze Liang, Zhao Xu, Daguo Wu

Adv. Eng. Informatics, 2025

MOTTO: A Mixture-of-Experts Framework for Multi-Treatment, Multi-Outcome Treatment Effect Estimation.

Yiling Liu, Wei Shi, Chen Fu, Ziyang Jiang, Zhigang Hua, David E. Carlson

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

ADEPT-Z: Zero-Shot Automated Circuit Topology Search for Pareto-Optimal Photonic Tensor Cores.

Ziyang Jiang, Pingchuan Ma, Meng Zhang, Z. Rena Huang, Jiaqi Gu

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

Incorporating Prior Knowledge into Neural Networks through an Implicit Composite Kernel.

Ziyang Jiang, Tongshu Zheng, Yiling Liu, David E. Carlson

Trans. Mach. Learn. Res., 2024

Deep Causal Inference for Point-referenced Spatial Data with Continuous Treatments.

Ziyang Jiang, Zach Calhoun, Yiling Liu, Lei Duan, David E. Carlson

CoRR, 2024

pTSE-T: Presentation Target Speaker Extraction using Unaligned Text Cues.

Ziyang Jiang, Xinyuan Qian, Jiahe Lei, Zexu Pan, Wei Xue, Xu-Cheng Yin

CoRR, 2024

Assessing the Potential of PlanetScope Satellite Imagery to Estimate Particulate Matter Oxidative Potential.

Ian Hough, Loïc Argentier, Ziyang Jiang, Tongshu Zheng, Mike Bergin, David E. Carlson, Jean-Luc Jaffrezo, Jocelyn Chanussot, Gaëlle Uzu

CoRR, 2024

Augmenting Ground-Level PM2.5 Prediction via Kriging-Based Pseudo-Label Generation.

Lei Duan, Ziyang Jiang, David E. Carlson

CoRR, 2024

2023

Causal Mediation Analysis with Multi-dimensional and Indirectly Observed Mediators.

Ziyang Jiang, Yiling Liu, Michael Hunter Klein, Ahmed Aloui, Yiman Ren, Keyu Li, Vahid Tarokh, David E. Carlson

CoRR, 2023

Domain Adaptation via Rebalanced Sub-domain Alignment.

Yiling Liu, Juncheng Dong, Ziyang Jiang, Ahmed Aloui, Keyu Li, Michael Hunter Klein, Vahid Tarokh, David E. Carlson

CoRR, 2023

Estimating Causal Effects using a Multi-task Deep Ensemble.

Ziyang Jiang, Zhuoran Hou, Yiling Liu, Yiman Ren, Keyu Li, David E. Carlson

Proceedings of the International Conference on Machine Learning, 2023

2022

Incorporating Prior Knowledge into Neural Networks through an Implicit Composite Kernel.

Ziyang Jiang, Tongshu Zheng, David E. Carlson

CoRR, 2022

Forecasting Stock Indexes with Metabolic DWT and MWA-GM(1,1).

Ziyang Jiang, Siyuan Lu, Jun Lin, Zhongfeng Wang

Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022

2017

Kinematics calculation of minimally invasive surgical robot based on FPGA.

Ziyang Jiang, Yu Dai, Jianxun Zhang, Su He

Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017